Submify.app — agentic threat model
Submify.app presents a moderate risk profile due to its semi-automated nature and focus on external web submissions. The primary risks involve prompt injection leading to spam generation or unauthorized directory submissions, mitigated partially by the human-in-the-loop workflow.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — likely relies on commercial third-party LLMs to generate context-aware submission content. Threats include prompt injection leading to malicious payload generation, brand damage, or model alignment bypasses during content generation.
Not certain from the listing — requires storing startup profiles, descriptions, and target directory lists. Risks include data exfiltration of proprietary startup details or poisoning of the directory database used for submissions.
Not certain from the listing — orchestrates submission workflows across 100+ directories. Vulnerabilities could include insecure tool integration where form-filling tools are manipulated via prompt injection to submit to unauthorized or malicious endpoints.
Not certain from the listing — hosted web application. Standard risks of container compromise, credential theft (for directory accounts), and lack of sandboxing for web-scraping or submission engines.
Not certain from the listing — needs monitoring to ensure generated content is high quality and submissions do not trigger spam filters. Lack of observability could lead to undetected generation of toxic or spammy content.
Not certain from the listing — requires robust authentication and authorization to prevent unauthorized users from submitting on behalf of a startup. Compliance risks include violating directory terms of service regarding automated submissions.
Not certain from the listing — interacts with external platforms (directories, blogs). Threats include cascading failures if target directories implement anti-bot/anti-AI measures, or if the agent interacts with malicious directories.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).